A4IZE9 AF NFT

3-dehydroquinate dehydratase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibat3cjq7zkx73pc4qh2igbwjqma3uvdy2okyuup6pdyhigmoyxt4/metadata.json
IPFS of structure file: 
bafybeigrjhszthhk7gyh54obdiy6drnhwp7hriyufrrrtdtnd7nlqx5cz4/AF-A4IZE9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x41C049aD5427907F76fA6Cdd2DB97E59526d6E41
First NFT owner address (bech32): 
genesis1g8qynt25y7g87ah6dnwjmwt7t9fx6mjpcyz7yn
Current NFT ID #27365 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
27365
Accession (UniProt):
A4IZE9
Name::
3-dehydroquinate dehydratase
Experimental Method:
Predicted structure
Sequence source:
Francisella tularensis subsp. tularensis (strain WY96-3418)

NFT data

MolNFT AF v1 is an AlphaFold database of AI predicted Swiss-Prot protein sequences preserved as regular ERC-721 NFT tokens on GenesisL1 blockchain for public free use, research and entertainment:

https://alphafold.ebi.ac.uk/
Jumper, J., Evans, R., Pritzel, A. et al. Highly accurate protein structure prediction with AlphaFold. 
Nature 596, 583–589 (2021). https://doi.org/10.1038/s41586-021-03819-2

MOLNFT A4IZE9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A4IZE9|AROQ_FRATW 3-dehydroquinate dehydratase OS=Francisella tularensis subsp. tularensis (strain WY96-3418) OX=418136 GN=aroQ PE=3 SV=1 MDVLVINGPNLNLLGTRQPQFYGHKTLADINNDLLKIAKENNINIDFYQSNHEGQIIDKIQQTAAKIIIINPAAFTHTSVAIRDAFLAINKPFIEIHLSNIYNREEFRTKSFLSDIAYGCIFGFGPNGYTLALIEAINYINMKGE